Teaching how to break bad news in Oncology: In-class vs. virtual peer role-plays

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Abstract

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  1. SciScore for 10.1101/2021.03.25.21254288: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    The main limitation of our VPRP sessions is that a minority of students actively played the role of “patient or trusted support person” or of the “doctor” (only 20% of students were “actors” during our sessions). This could be addressed by increasing the number of virtual rooms in each session. Overall, while the 52% rate of response to the post-VPRP questionnaire may be associated with a potential bias, we feel VPRP sessions are realistic, valuable and an effective method for learning breaking bad news communication skills. Future studies should evaluate the “learning” benefits of VPRP i.e., knowledge, skills, attitudes and perceptions (confidence, commitment).

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.